Fiddler AI Control Plane for Financial Services

Fiddler is the control plane for AI agents in financial services, delivering monitoring, policy, and governance, wherever AI agents and models act on live capital and customer data.
De-risk AI, generate audit evidence for NIST AI RMF, SR 26-2, and ISO/IEC 42001, and cut AI deployment costs.
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Unlock AI Value, Control AI Risk, Maintain Compliance

Mitigate Financial and Brand Risk

Protect the institution from regulatory penalties and brand damage.

Fiddler Guardrails enforce policy inline, on the same request,  blocking PII and secrets from leaking  before they cause harm, and governing coding agents to prevent credential exposure. AI operations stay aligned with regulatory expectations and deployment timelines reduced from months to days.

Turn AI Governance Requirements Into Practice

The NIST AI RMF, SR 26-2, and ISO/IEC 42001 call for continuous monitoring and documentation, not one-time validation. 

Fiddler acts as your governance and compliance proof engine, providing continuous monitoring, fairness auditing, and audit evidence aligned with regulatory review requirements. Real-time guardrails block hallucinations, PII leakage, and jailbreaks before they reach a customer, an examiner, or a headline.

Maximize ROI by Keeping Token Costs in Control

Competitors route trace data to external models for scoring, forcing aggressive down-sampling and sending proprietary financial data outside your perimeter. 

Fiddler Centor Models run scoring and guardrails entirely inside your environment, eliminating the Evaluation Trust Tax and giving you 100% trace coverage with zero data egress and no hidden fees.

A Unified Observability Platform for Financial Services

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Flowchart of financial services app multi-agent system with sessions and agents for credit processing tasks.

See Every Action, Understand Every Decision, Control Every Outcome

Your agents are approving credit, triage fraud, and service customers on their own, but observability must precede autonomy. 

Fiddler is the control plane for every agent you run, from the coding assistants that build your apps to customer facing agents, spanning the creation layer through the production layer. Test and evaluate agent behavior before deployment, then  identify agentic failures across the agentic journey and trace any decision to its source.

Learn more about Fiddler Agentic Observability
Flow chart showing a loan application process with user prompt, flagged unsafe response, and PII guardrails detection.

Enforce Policies Inline, on Every Request and Response

Your agents handle PII, PCI, account numbers, and secrets every day. Flagging a leak after the fact is an incident report, not protection. 

Fiddler is the only inline enforcement on the agent's request and response path. Allow, block, or redact in under 80ms with Fiddler Centor Models in your environment, catching a hallucinated quote or a leaked API key before it ships.

Learn more about Fiddler Guardrails
Flowchart showing loan query to Bureau agent, ML model observability, and Fiddler dashboard metrics.

Prove Fairness and Reliability in Predictive Models

Credit, fraud, and trading models decay as markets shift and adversaries adapt. 

Fiddler ML Observability detects data and concept drift early, provides deep root cause analysis, and helps prove fairness via metrics like disparate impact, demographic parity, and equal opportunity, supplying the local explanations required for ECOA adverse action notices.

Learn more about Fiddler ML Observability

Frequently Asked Questions

Can Fiddler live in my secure environment?

Yes. Fiddler deploys in any secure cloud environment or VPC. We are SOC 2 Type II compliant, with role-based access control and SSO, so proprietary trading algorithms, customer data, and PII never leave your control.

What is an AI agent in financial services?

An AI agent is an autonomous system that can reason, plan, and execute multi-step tasks without human intervention. Examples include agents that automate credit underwriting, orchestrate fraud investigation across multiple models, or handle account and policy servicing inquiries.

How does Fiddler support SR 11-7 and SR 26-2 model risk management?

SR 26-2 is the updated version of SR 11-7, and it expects adaptive, continuous monitoring and holds institutions accountable for interconnected architectures, where a generative output feeding a traditional credit model brings the entire data lineage under examination. Fiddler provides continuous monitoring across predictive, generative, and agentic systems, with audit evidence aligned to that mandate.

How does Fiddler help with ECOA and fair lending compliance?

Under ECOA, a creditor must provide specific, principal reasons for an adverse action, and model opacity is not a defense. Fiddler uses feature attribution to expose the causal drivers behind each credit decision, so you can generate compliant adverse-action notices automatically, and it continuously monitors for intersectional bias that aggregate metrics miss.

How does Fiddler govern coding agents used by quants and developers?

Fiddler extends governance to the creation layer, monitoring the IDE, CLI, and MCP boundary to validate tool invocations against allowlists, scan for secrets, and prevent coding agents from committing insecure code or accessing unauthorized repositories before any code is compiled.

Which AI monitoring tool is best for banking?

The best tool goes beyond performance monitoring to governance, security, and quality evaluation in one control plane. Fiddler combines observability, in-environment Centor Models, fairness auditing, and real-time Guardrails, and is the only platform that spans both the creation layer and the production layer.